class: center, middle, inverse, title-slide .title[ # “Predicting Covid-19 outbreaks using multi-layer centrality measures”
] .subtitle[ ##
Presentation of the Research Report
] .author[ ### Christine Hedde - von Westernhagen ] .date[ ### 2022-11-24
Master program MSBBSS, Department of Methodology and Statistics
] --- class: center, middle, inverse # Let's break it down: --- class: center, middle, inverse # **Predicting Covid-19 outbreaks** <span style = "color:gray";> using multi-layer centrality measures </span> --- class: left, top ## ***The relevance of my project*** *Image/text related to Covid modeling* --- class: center, middle, inverse # <span style = "color:gray";> Predicting Covid-19 outbreaks using </span> **multi-layer** <span style = "color:gray";> centrality measures </span> --- class: left, top ## ***The methodological framework: Multi-layer networks*** *Image related to multi-layer network* --- class: center, middle, inverse # <span style = "color:gray";> Predicting Covid-19 outbreaks using multi-layer </span> **centrality measures** --- class: left, top ## ***The prediction method: Centrality measures*** *Image related to centrality* --- class: center, middle, inverse # Single-layer centrality **!=** Multi-layer centrality --- class: left, top *Images of collapsed and uncollapsed multi-layer, highlight central node* --- class: center, middle, inverse # **Results so far**